Luxembourg Research Evaluation 2022

Preprocessing articles

Converting your scopus collection into a bibliographic dataframe

Warning in convert2df(file = files[1], dbsource = "scopus", format = "csv") :
  NAs introduced by coercion

Done!


Generating affiliation field tag AU_UN from C1:  Done!


Converting your scopus collection into a bibliographic dataframe

Done!


Generating affiliation field tag AU_UN from C1:  Done!

Networks Bibliographic

Restrict the network

Community Detection

Subsetting by nodes

Ungrouping graph...

Merge with main data

Aggregated Network

Network Cocitation

Error: object 'g_cit' not found

Community Detection

Subsetting by nodes

Ungrouping graph...

A ggregated Network

Warning in rm(mat_cit, g_cit, g_cit_agg) : object 'mat_cit' not found
Warning in rm(mat_cit, g_cit, g_cit_agg) : object 'g_cit_agg' not found

2 mode network

Joining, by = "XX"

Topicmodel

Warning: Expected 3 pieces. Missing pieces filled with `NA` in 1180536 rows [1, 2, 4, 5, 7, 8, 10, 11, 13, 14, 16, 17, 19, 20, 22, 23, 25, 26, 28, 29, ...].

fit models...

During startup - Warning messages:
1: Setting LC_COLLATE failed, using "C" 
2: Setting LC_TIME failed, using "C" 
3: Setting LC_MESSAGES failed, using "C" 
4: Setting LC_MONETARY failed, using "C" 
During startup - Warning messages:
1: Setting LC_COLLATE failed, using "C" 
2: Setting LC_TIME failed, using "C" 
3: Setting LC_MESSAGES failed, using "C" 
4: Setting LC_MONETARY failed, using "C" 
During startup - Warning messages:
1: Setting LC_COLLATE failed, using "C" 
2: Setting LC_TIME failed, using "C" 
3: Setting LC_MESSAGES failed, using "C" 
4: Setting LC_MONETARY failed, using "C" 
During startup - Warning messages:
1: Setting LC_COLLATE failed, using "C" 
2: Setting LC_TIME failed, using "C" 
3: Setting LC_MESSAGES failed, using "C" 
4: Setting LC_MONETARY failed, using "C" 

 done.
calculate metrics:
  Griffiths2004... done.
  CaoJuan2009... done.
  Arun2010... done.
  Deveaud2014... done.

Warning: `guides(<scale> = FALSE)` is deprecated. Please use `guides(<scale> = "none")` instead.

Warning in if (class(X) == "dist") { :
  the condition has length > 1 and only the first element will be used
sigma summary: Min. : 33554432 |1st Qu. : 33554432 |Median : 33554432 |Mean : 33554432 |3rd Qu. : 33554432 |Max. : 33554432 |
Epoch: Iteration #100 error is: 10.7772497668092
Epoch: Iteration #200 error is: 0.366228799621675
Epoch: Iteration #300 error is: 0.283594329454623
Epoch: Iteration #400 error is: 0.279540706669522
Epoch: Iteration #500 error is: 0.270012158821152
Epoch: Iteration #600 error is: 0.268385261201972
Epoch: Iteration #700 error is: 0.268373980675531
Epoch: Iteration #800 error is: 0.268373776219343
Epoch: Iteration #900 error is: 0.268373515394795
Epoch: Iteration #1000 error is: 0.268373208955506
Loading required namespace: servr
To stop the server, run servr::daemon_stop(1) or restart your R session
Serving the directory /private/var/folders/34/_4xm8_d96wl8vhw6nq91nrhw0000gn/T/RtmpgxERrH/filec05627e478e6 at http://127.0.0.1:4321

To stop the server, run servr::daemon_stop(2) or restart your R session
Serving the directory /Users/dsh/OneDrive - Aalborg Universitet/01 - Research/project_2022_biblio_lux_eval/biblio_lux_2022_github/output/LDAviz_liser_ud.rds at http://127.0.0.1:5162

Local citations

Historical citation

SCOPUS DB: Searching local citations (LCS) by document titles (TI) and DOIs...

Found 1047 documents with no empty Local Citations (LCS)

 Legend

$net
IGRAPH c4ea27c DN-- 41 87 -- 
+ attr: name (v/c), title (v/c), id (v/c), size (v/n), years (v/n), color (e/c)
+ edges from c4ea27c (vertex names):
 [1] ZARABI Z, 2019, SUSTAINABILITY                         ->GERBER P, 2020, TRANSP RES PART F TRAFFIC PSYCHOL BEHAV
 [2] ZARABI Z, 2019, SUSTAINABILITY                         ->MA T-Y, 2021, TRANSP RES PART D TRANSP ENVIRON-a       
 [3] ZARABI Z, 2019, SUSTAINABILITY                         ->KAMRUZZAMAN M, 2021, J TRANSP GEOGR                    
 [4] GERBER P, 2020, TRANSP RES PART F TRAFFIC PSYCHOL BEHAV->MA T-Y, 2021, TRANSP RES PART D TRANSP ENVIRON-a       
 [5] DE VOS J, 2018, TRANSP RES PART A POLICY PRACT         ->ZARABI Z, 2019, SUSTAINABILITY                         
 [6] DE VOS J, 2018, TRANSP RES PART A POLICY PRACT         ->GERBER P, 2020, TRANSP RES PART F TRAFFIC PSYCHOL BEHAV
 [7] DE VOS J, 2018, TRANSP RES PART A POLICY PRACT         ->DE VOS J, 2019, TRANSP RES PART F TRAFFIC PSYCHOL BEHAV
 [8] DE VOS J, 2018, TRANSP RES PART A POLICY PRACT         ->VAN WEE B, 2019, J TRANSP GEOGR                        
+ ... omitted several edges

$g

$layout

$axis

NA

Other stuff

Threefield Plot

rm(M_threefield)

#M %>% authorProdOverTime(k = 10, graph = TRUE) #M %>% rpys(sep = “;”, graph = T) #M %>% thematicMap() #M_them_evo <- M %>% thematicEvolution(years = c(2016, 2018,2021))

Conceptual Structure

#CS <- M %>% conceptualStructure(field=“ID”, method=“CA”, minDegree=4, clust=5, stemming=FALSE, labelsize=10, documents=10) #CS %>% saveRDS(“../temp/CS.RDS”) #rm(CS)

Other network levels

mat_bib %<>% normalizeSimilarity(type = “association”) # NOTE: We do not normalize on the biblio-network publication level anymore.